Priority rules for job shops with weighted tardiness costs
Management Science
Botticelli: A Supply Chain Management Agent
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
RedAgent-2003: An Autonomous Market-Based Supply-Chain Management Agent
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Designing a successful trading agent for supply chain management
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
The supply chain trading agent competition
Electronic Commerce Research and Applications
Forecasting market prices in a supply chain game
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
The CrocodileAgent: A Software Agent for SCM Procurement Gaming
IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence
The CrocodileAgent: Designing a Robust Trading Agent for Volatile E-Market Conditions
KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Forecasting market prices in a supply chain game
Electronic Commerce Research and Applications
Flexible decision control in an autonomous trading agent
Electronic Commerce Research and Applications
The CrocodileAgent 2005: an overview of the TAC SCM agent
TADA/AMEC'06 Proceedings of the 2006 AAMAS workshop and TADA/AMEC 2006 conference on Agent-mediated electronic commerce: automated negotiation and strategy design for electronic markets
The crocodileagent: research for efficient agent-based cross-enterprise processes
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part I
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Supply chains are a central element of today's global economy. Existing management practices consist primarily of static interactions between established partners. Global competition, shorter product life cycles and the emergence of Internet-mediated business solutions create an incentive for exploring more dynamic supply chain practices. The Supply Chain Trading Agent Competition (TAC SCM) was designed to explore approaches to dynamic supply chain trading. TAC SCM pits against one another trading agents developed by teams from around the world. Each agent is responsible for running the procurement, planning and bidding operations of a PC assembly company, while competing with others for both customer orders and supplies under varying market conditions. This paper presents Carnegie Mellon University's 2005 TAC SCM entry, the CMieux supply chain trading agent. CMieux implements a novel approach to coordinating supply chain bidding, procurement and planning, with an emphasis on the ability to rapidly adapt to changing market conditions. We present empirical results based on 200 games involving agents entered by 25 different teams during what can be seen as the most competitive phase of the 2005 tournament. Not only did CMieux perform among the top five agents, it significantly outperformed these agents in procurement while matching their bidding performance.